•  
  •  
 

Bulletin of Chinese Academy of Sciences (Chinese Version)

Authors

Jiaofeng PAN, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, ChinaFollow
Weiwei FAN, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Fuhai LENG, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, ChinaFollow
Guopeng LI, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Feng ZHANG, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
Lin HAN, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Haiming WANG, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Chaoxing ZHANG, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Fan YANG, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Xiaomei WANG, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Haixia WANG, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Jianxia YUAN, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Ying XING, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Ting CHEN, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China

Keywords

technology focus, high impact patents, technology foresight

Document Type

Science and Technology Foresight

Abstract

2022 Technology Focus report developed by the Institutes of Science and Development, Chinese Academy of Sciences (CASISD), is based on the role of "Technology Focus" in the fields of information, energy, life and material manufacturing in the new technological revolution. We select and determine "20 High-impact Patented Technology Focus" from the 32 "Technology Focus" areas that are highlighted in the report. It briefly describes the basic meaning, technological innovation challenges, and the research path. Based on the distribution of comprehensive influence scores of patent data in "Technology Focus", it reveals the technical innovation points and the characteristics of the national institutions of the patents with higher scores. Finally, three conclusions are given:(1) the technology focus characterizes the "difficulties" and "pain points" of industrial technological innovation in many fields around the world; (2) developed countries in science and technology occupy the commanding heights of most "Technology Focus"; and (3) the patent patent ownership institutions in the "Technology Focus" are leaders in industrial technological innovation.

First page

167

Last Page

177

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 韩淋, 李国鹏, 杨帆, 等. 利用技术聚焦方法得到TOP 100技术焦点. 中国科学基金, 2022, 36(1):100-106.

Han L, Li G P, Yang F, et al. ""Technology focus"" method and TOP 100 technology focuses. Bulletin of National Natural Science Foundation of China, 2022, 36(1):100-106. (in Chinese)

2 Devlin J, Chang M W, Lee K, et al. BERT:Pre-training of deep bidirectional transformers for language understanding. (2019-05-24)[2022-12-15]. https://arxiv.org/abs/1810.04805.

3 Derwent Innovation. Predictive data and analytics. (2020-01-26)[2022-12-15]. https://derwentinnovation.clarivate.com.cn/tip-innovation/support/help/toc_docs/Predictive_data_and_analytics.htm.

4 World Intellectual Property Organisation. Concept of a technology classification for country comparisons. (2008-06-01)[2022-12-15]. https://www.wipo.int/meetings/en/doc_details.jsp?doc_id=117672.

5 吴长锋. ""脆弱""的量子比特,如何成为量子计算""主心骨"". 科技日报, 2021-11-25(05). Wu C F. How ""fragile"" quantum bits become the ""backbone"" of quantum computing. Science and Technology Daily, 2021-11-25(05). (in Chinese)

6 涂有瑞. 半导体磁场传感器过去和未来. 传感器世界, 2003, 9(7):1-10.

Tu Y R. The past and future of semiconductor magnetic field sensors. Sensor World, 2003, 9(7):1-10. (in Chinese)

7 傅耀威, 丁莹, 薛堪豪, 等. 非易失半导体存储器技术发展状况浅析. 科技中国, 2021, (4):38-40.

Fu Y W, Ding Y, Xue K H, et al. Analysis of the development of nonvolatile semiconductor memory technology. Scitech in China, 2021, (4):38-40. (in Chinese)

8 张卫. 存储器技术的新进展. 集成电路应用, 2020, 37(3):10-12.

Zhang W. New development of memory devices. Applications of IC, 2020, 37(3):10-12. (in Chinese)

9 刘博, 于洋, 姜朔. 激光雷达探测及三维成像研究进展. 光电工程, 2019, 46(7):21-33.

Liu B, Yu Y, Jiang S. Review of advances in LiDAR detection and 3D imaging. Opto-Electronic Engineering, 2019, 46(7):21-33. (in Chinese)

10 朱华勇, 牛轶峰, 沈林成, 等. 无人机系统自主控制技术研究现状与发展趋势. 国防科技大学学报, 2010, 32(3):115-120.

Zhu H Y, Niu Y F, Shen L C, et al. State of the art and trends of autonomous control of UAV systems. Journal of National University of Defense Technology, 2010, 32(3):115-120. (in Chinese)

11 顾嘉俊. 移动机器人在非平坦地形上的自主导航研究. 上海:上海交通大学, 2010.

Gu J J. Autonomous Navigation of Mobile Robot on Nonplanar Terrain. Shanghai:Shanghai JiaoTong University, 2010. (in Chinese)

12 张琦. 移动机器人的路径规划与定位技术研究. 哈尔滨:哈尔滨工业大学, 2014.

Zhang Q. Path Planning and Location for Mobile Robot. Harbin:Harbin Institute of Technology, 2014. (in Chinese)

13 刘文之. 基于激光雷达的SLAM和路径规划算法研究与实现. 哈尔滨:哈尔滨工业大学, 2018.

Liu W Z. Research and Implementation of Simultaneous Localization and Indoor Mapping and Path Planning Based on Lidar. Harbin:Harbin Institute of Technology, 2018. (in Chinese)

14 蒋煜明. 深亚微米集成电路特征尺寸缩小的研究开发和应用. 上海:复旦大学, 2010.

Jiang Y M. Research, Development and Application of Feature Size Reduction for Deep Submicron Integrated Circuits. Shanghai:Fudan University, 2010.

15 智翔. 面向航空发动机构件的激光快速再制造软件系统仿真与实现. 南京:南京航空航天大学, 2012.

Zhi X. Research on the Simulation and Realization Laser Rapid Remanufacturing Software System Oriented to Aero-engine Components. Nanjing:Nanjing University of Aeronautics and Astronautics, 2012. (in Chinese)

16 张立峰, 周黎明. 小分子类靶向抗肿瘤药物的研究进展. 四川生理科学杂志, 2016, 38(3):177-179.

Zhang L F, Zhou L M. Research progress of small-molecule targeted anti-tumor drugs. Sichuan Journal of Physiological Sciences, 2016, 38(3):177-179. (in Chinese)

2302CG00013.pdf (318 kB)

Click link below to download English version.

2302CG00013.pdf (318 kB)

Share

COinS